For those of you involved in HRI research: if you have interesting work to
write up, please consider submitting it to the AISB symposium! The
submission deadline is approaching fast.
regards, Kerstin Dautenhahn
----apologies if you receive multiple copies of this email------
NEW FRONTIERS IN HUMAN-ROBOT INTERACTION
A two-day symposium, 8-9 April 2009, at AISB 2009, Edinburgh, Scotland
http://homepages.feis.herts.ac.uk/~comqkd/HRI-AISB2009-Symposium.html
SUBMISSION DEADLINE 5 JANUARY 2009
Motivation and Background:
Human-Robot Interaction (HRI) is a growing research field with many application
areas that could have a big impact not only economically, but also on the way
we live and the kind of relationships we may develop with machines. Due to its
interdisciplinary nature different views and approaches towards HRI need to be
nurtured. This symposium will provide a platform to discuss collaboratively
recent findings and challenges in HRI. Different categories of submissions are
encouraged that reflect the different types of research studies that are being
carried out. The symposium will encourage a diversity of views on HRI and
different approaches taken. In the highly interdisciplinary research field of
HRI, a peaceful dialogue among such approaches is expected to contribute to the
synthesis of a body of knowledge that may help HRI sustain its creative inertia
that has drawn to HRI during the past 10 years many researchers from HCI,
robotics, psychology, the social sciences, and other fields.
Topics of interest include but are not limited to:
- Developments towards robot companions
- User-centred robot design
- Robots in personal care and health care
- Robots in search and rescue
- Sensors and interfaces for HRI
- Human-aware robot perception
- Dialogue and multi-modal human-robot interaction
- Robot architectures for socially intelligent robots
- HRI field studies in naturalistic environments
- Robot assisted therapy
- Robots in HRI collaborative scenarios
- Robots in schools and in other educational environments
- Robots as personal assistants and trainers
- Robot and human personality
- New methods and methodologies to carry out and analyze human-robot
interaction
- Robots as companions and helpers in the home
- Robots as assistive technology
- Long-term or repeated interaction with robots
- Creating relationships with robots
- Expressiveness in robots
- Sustaining the engagement of users
- Personalizing robots and HRI interfaces
- Human-robot teaching
- Robots that learn socially and adapt to people
- User experience in HRI
- User needs and requirements for HRI
- Robots as autonomous companions
- Robots as remote-controlled tools
- Embodied interfaces for smart homes
- Ethnography and field studies
- Cross-cultural studies
Note, articles that are specifically addressing ethical issues in HRI are
encouraged to submit to the AISB09 Symposium on .Killer robots or friendly
fridges: the social understanding of Artificial Intelligence.
(http://www.macs.hw.ac.uk/~ruth/krff.html), and may consider to attend both
symposia which will run back to back.
The symposium encourages submissions in any of the following categories. The
submission should clearly state which category the article falls under:
*N* Completed empirical studies reporting novel research findings
In this category we encourage submissions where a substantial body of findings
has been accumulated based on precise research questions or hypotheses. Such
studies are expected to fit within a particular experimental framework (e.g.
using qualitative or quantitative evaluation techniques) and the reviewing of
such papers will apply relevant (statistical and other) criteria accordingly.
Findings of such studies should provide novel insights into human-robot
interaction studies.
*E* Exploratory studies
Exploratory studies are often necessary to pilot and fine-tune the
methodological approach, procedures and measures. In a young research field
such as HRI with novel applications and various robotic platforms, exploratory
studies are also often required to derive a set of concrete research questions
or hypothesis, in particular concerning issues where there is little related
theoretical and experimental work. Although care must be taken in the
interpretation of findings from such studies, they may highlight issues of
great interest and relevance to peers.
*S* Case studies
Due to the nature of many HRI studies, a large-scale quantitative approach is
often neither feasible nor desirable. However, case study evaluation can
provide meaningful findings if presented appropriately. Thus, case studies with
only one participant, or a small group of participants, are encouraged if they
are carried out and analyzed in sufficient depth.
*P* Position papers
While categories N, E and S require reporting on HRI studies or experiments,
position papers can be conceptual or theoretical, providing new interpretations
of known results. Also, in this category we consider papers that present new
ideas without having a complete study to report on. Papers in this category
will be judged on the soundness of the argument presented, the significance of
the ideas and the interest to the HRI community.
*R* Replication of HRI studies
To develop as a field, HRI findings obtained by one research group need to be
replicated by other groups. Without any additional novel insights, such work is
often not publishable. Within this category, authors will have the opportunity
to report on studies that confirm or disconfirm findings from experiments that
have already been reported in the literature. This category includes studies
that report on negative findings.
*D* Live HRI Demonstrations
Contributors may have an opportunity to provide live demonstrations (live or
via Skype), pending the outcome of negotiations with the local organization
team. The demo should highlight interesting features and insights into HRI.
Purely entertaining demonstrations without significant research content are
discouraged.
If authors feel that their particular paper does not fit any of the above
mentioned categories, then they should indicate this when submitting their
paper so that the reviewing process can take this into consideration.
Symposium Chair:
Kerstin Dautenhahn, Adaptive Systems Research Group, School of Computer
Science, University of Hertfordshire, UK (use K.Dautenhahn "@" herts "." ac "."
uk for any inquiries regarding the workshop)
Submission of Contributions:
We invite unpublished, original work as extended abstracts (up to 3 pages) or
full papers of up to 8 pages (double column). In category *D* we invite one
page descriptions detailing the demo and its associated research questions.
Please send the PDF submissions to HRI-AISB09 (aisb-hri "@" herts "."ac "." uk)
(files bigger than 2MB will not be accepted) AND send an email to Kerstin
Dautenhahn (K.Dautenhahn "@" herts "." ac "." uk) with the following
information: title of paper, author list, contact email, file name (as
submitted to HRI-AISB09) and category of paper.
All submissions will be peer reviewed.
Proceedings:
Authors of accepted contributions will be asked to prepare the final versions
(up to 8 pages) for inclusion in the symposium proceedings. A special journal
issue will be considered and/or a book publication.
Important Dates:
- 5th January 2009 : Submission deadline
- 2th February 2009: Deadline for notifications sent to authors
- 23rd February 2009 : Camera read copies due
- 8-9 April 2009: Symposium
Programme Committee:
Takayuki Kanda, ATR, Japan
Ben Krose, UVA, the Netherlands
Aude Billard, EPFL, Switzerland
Kerstin Severinson Eklundh, KTH, Sweden
Takanori Shibata, AIST, Japan
Henrik I. Christensen, Georgia Tech, USA
Nuno Otero, University of Minho, Portugal
Michael Beetz, TUM, Germany
Greg Trafton, Naval Research Laboratory, USA
Yiannis Demiris, Imperial College, UK
Hatice Kose-Bagci, University of Hertfordshire, UK
Kolja Kuehnlenz, TUM, Germany
Michael A. Goodrich, Brigham Young University, USA
Yoshihiko Nakamura, University of Tokyo, Japan
Christoph Bartneck, Eindhoven University of Technology, the Netherlands
Michael L. Walters, University of Hertfordshire, UK
Karl F. MacDorman, Indiana University, USA
Hisato Kobayashi, Hosei University, Japan
Tatsuya Nomura, Ryukoku University, Japan
Dirk Wollherr, TUM, Germany
Kheng Lee Koay, University of Hertfordshire, UK
Astrid Weiss, University of Salzburg, Austria
Monica Nicolescu, University of Nevada, Reno, USA
Sandra Hirche, TUM, Germany
Ben Robins, University of Hertfordshire, UK
Christine Lisetti, Florida International University, USA
Holly Yanco, University of Massachusetts-Lowell, USA
Aaron Steinfeld, Carnegie Mellon University, USA
Yoshihiro Miyake, Tokio Institute of Technology, Japan
Tomio Watanabe, Okayama Prefectural University, Japan
Haizhou Li, Institute for Infocomm Research, Singapore
Adriana Tapus, USC, USA
Andrea Thomaz, Georgia Tech, USA
Jong-Hwan Kim, KAIST, South Korea
Sylvain Calinon, EPFL, Switzerland
Reid Simmons, Carnegie Mellon University, USA
Julie Adams, Vanderbilt University, USA
Aris Alissandrakis, Tokio Institute of Technology, Japan
Yorick Wilks, University of Sheffield, UK
Shuzhi Sam Ge, The National University of Singapore
Odest Chadwicke Jenkins, Brown University, USA
Dong-Soo Kwon, KAIST, South Korea
Wolfram Erlhagen, University of Minho, Portugal
Illah Nourbakhsh,Carnegie Mellon University, USA
Catherina Burghart, University of Karlsruhe, Germany
Manfred Tscheligi, University of Salzburg, Austria
Matthias Scheutz, Indiana University Bloomington, US
-----------------------------------------------------
Prof. Dr. Kerstin Dautenhahn
Professor of Artificial Intelligence
Adaptive Systems Research Group
The University of Hertfordshire, School of Computer Science
College Lane, Hatfield, Hertfordshire AL10 9AB, United Kingdom
URL: http://homepages.feis.herts.ac.uk/~comqkd
E-mail: K.Dautenhahn at herts.ac.uk
Fax: +44-1707-284-303 Tel: +44-1707-284-333